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the EPSRC Industrial Doctoral Landscape Award project in collaboration with industrial partner Tata Steel UK. The project aims to advance fundamental knowledge on the impact of residual elements
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(Montanuniversität Leoben - MUL, Austria) DC6: Compositional footwear analysis: Compositional analysis and optimized treatment pathways (Technical University of Denmark - DTU, Denmark) DC7: Compositional sorting
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channels. The goal is to uncover hidden tracking practices that operate across ecosystems (e.g., mobile, web, IoT, and smart TV environments) and to design scalable analysis and mitigation frameworks
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Risk Analysis Group at TUM and Prof. Maria Pina Limongelli at Politecnico di Milano, offering an excellent international research environment. About us The Engineering Risk Analysis Group at TUM
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-analysis pipelines (statistics, mathematical modeling, and ML) for terabyte-scale 3D histology images, from preprocessing to analysis and validation. Handle and visualize large 3D microscopy datasets. Image
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Chemistry (experimental/computational physical chemistry) -Transition metal photocatalysts studied by femtosecond X-ray science with a focus on hybrid experimental/machine-learned structural dynamic analyses
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different approaches, the most prevalent is polygraph testing which infers deception through the measurement and analysis of physiological responses (e.g., blood pressure, electrodermal activity). However
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the transition to sustainable iron and steel production. As a PhD researcher you will: Investigate how gangue elements affect the reduction behaviour of iron ore pellets under various process conditions. Analyse
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small elements of computational chemistry (electronic structure calculations) to help interpret experimental observations, supported by local and national supercomputing facilities. Entry Requirements
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position will furthermore be strongly linked to the Section for Cognitive Systems at DTU Compute, which uses advanced data analysis for understanding the interactions between man and machine. The main